Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability

AI for IoT and Health Systems

Inbunden, Engelska, 2024

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IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms.

Produktinformation

Utgivningsdatum2024-02-01
Mått155 x 235 x 17 mm
Vikt477 g
FormatInbunden
SpråkEngelska
SerieEngineering Cyber-Physical Systems and Critical Infrastructures
Antal sidor191
FörlagSpringer International Publishing AG
ISBN9783031527869

Tillhör följande kategorier

Medicin: allmänt inom Medicin
Hårdvara inom Data och IT
Biomedicinsk teknik inom Medicin
Hälso- och sjukvård inom Medicin
Artificiell intelligens inom Data och IT

Drug-Drug Interaction, Interaction Type And Resulting Severity Forecasting By Machine Learning-Based Approaches.- Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare.- CNN-Based Model for Skin Diseases Classification.- Using explainable artificial intelligence and knowledge graph to explain sentiment analysis of COVID-19 post on the Twitter.- An IoT-based Telemedicine System for the Rural People of Bangladesh.- Comparison of Predicting Regional Mortalities Using Machine Learning Models.- Benign and Malignant Cancer Prediction using Deep Learning and Generating Pathologist Diagnostic Report.- An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading.- Covid-19 Detection based on Chest X-ray images us-ing Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks.- A Stochastic Gradient Support Vector Optimization Algorithm for Predicting ChronicKidney Diseases.- Intelligent Information Systems in Healthcare sector: Review Study.- Design of a Blockchain-based Patient Record Tracking System.- IoT Networks and Online Image Processing in IMU-based Gait Analysis.- Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application